Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 10
Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3271-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-3271-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 10
Research article
 | 
12 Oct 2022
Research article |  | 12 Oct 2022

Dynamic risk assessment of compound hazards based on VFS–IEM–IDM: a case study of typhoon–rainstorm hazards in Shenzhen, China

Wenwu Gong, Jie Jiang, and Lili Yang

Viewed

Total article views: 3,081 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,203 788 90 3,081 82 88
  • HTML: 2,203
  • PDF: 788
  • XML: 90
  • Total: 3,081
  • BibTeX: 82
  • EndNote: 88
Views and downloads (calculated since 19 Oct 2021)
Cumulative views and downloads (calculated since 19 Oct 2021)

Viewed (geographical distribution)

Total article views: 3,081 (including HTML, PDF, and XML) Thereof 2,926 with geography defined and 155 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Nov 2025
Download
Short summary
We propose a model named variable fuzzy set and information diffusion (VFS–IEM–IDM) to assess the dynamic risk of compound hazards, which takes into account the interrelations between the hazard drivers, deals with the problem of data sparsity, and considers the temporal dynamics of the occurrences of the compound hazards. To examine the efficacy of the proposed VFS–IEM–IDM model, a case study of typhoon–rainstorm risks in Shenzhen, China, is presented.
Read more
Share
Special issue
Advances in flood forecasting and early warning
Altmetrics
Final-revised paper
Preprint